The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and concerns that may arise with their use. We collected Twitter data to identify key concerns related to the use of ChatGPT in education. This dataset is used to support the study "ChatGPT in education: A discourse analysis of worries and concerns on social media."
In this study, we particularly explored two research questions. RQ1 (Concerns): What are the key concerns that Twitter users perceive with using ChatGPT in education? RQ2 (Accounts): Which accounts are implicated in the discussion of these concerns? In summary, our study underscores the importance of responsible and ethical use of AI in education and highlights the need for collaboration among stakeholders to regulate AI policy.
Title
ChatGPT in education: A discourse analysis of worries and concerns on social media
Issued Date
2023-09-26
Version
v1
Status
Published
Funding Information
National Science Foundation, 1928434
Citation
Li, Lingyao and Hemphill, Libby. ChatGPT in education: A discourse analysis of worries and concerns on social media. Inter-university Consortium for Political and Social Research [distributor], 2023-09-26. https://doi.org/10.3886/jg8j-6t78
Time Period
2022-12-01, 2023-03-31
Collection Date
2023-04-10, 2023-04-11
Platform
Twitter
Collection Modes
application programming interface (API)
Data Formats
web platform data
Purpose
The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and concerns that may arise with their use. We analyzed Twitter data to identify key concerns related to the use of ChatGPT in education.
Variables
Attributes of a tweet, such as tweet text, retweet count, favorite count, and time of tweet.
Sampling
nonprobability.availability
